Artie, Inc.
Founding Software Engineer
Artie, Inc., San Francisco, California, United States, 94199
We’re searching for a founding engineer(s) who brings a mix of rapid iteration, meticulous craftsmanship, and an eagerness to dive into the fast-evolving world of AI. You'll play a critical role in shaping our technology, from our advanced AI analysis pipeline leveraging cutting-edge models to our robust ingestion system built on Kafka and Clickhouse, down to our web application that users rely on every day. You’ll work directly with the founders, closely collaborating to push boundaries and collectively bring the team’s absurdly ambitious vision to life.
About The Founders
Rohan Das:
Previously staff engineer and manager at Google, TLing and managing the YouTube homepage app server (billions of requests per day). Expertise in distributed systems and product development. Michael Rosenfield:
Previously Sr. Product Manager at Google where he led the development of the first native ads format on Google Maps, drove Google Search Ads optimization with $XB revenue growth, and led the Pixel premium tier product line. What You’ll Do
Design, build, and iterate across the stack , from backend data pipelines and ML-powered insights to frontend applications, bringing the power of multimodal LLMs to identify insights for users in real time. Drive the development of our
core AI analysis pipeline , working with multi-modal LLMs, modern ML models, and data processing techniques. Work on our
ingestion pipeline, handling massive amounts of data at scale
with tools like Kafka and Clickhouse. Collaborate closely with the founding team
to define technical strategies, set engineering standards, and shape product direction. Work directly with customers
to understand their needs, gather feedback, and iterate quickly to improve the product. About You
Experience : You have 1-3 (or more) years of experience building professional software with a very high quality bar. Ideally, you have demonstrable expertise in at least one of the following technologies: LLMs, machine learning, Next.js, React, Kafka, or Clickhouse. Ownership and Communication : You’re a self-starter excited about taking full ownership of projects you’re working on, and communicating to ensure they’re moving forward regularly. Full-Stack Fluency : You’re comfortable moving across the stack, from backend systems to user-facing applications, and have a good understanding of cloud infrastructure. AI/ML Enthusiasm : You’re thrilled by the potential of AI and stay up-to-date with the latest developments in machine learning and data processing. User-Focused : You have a passion for creating seamless user experiences and are energized by working directly with customers to solve real-world problems. Why Join Us?
Impact : As an early engineer, you’ll have a profound influence on the technical direction, engineering culture, and overall product vision. Growth : The challenges here will fast-track your growth, exposing you to the intricacies of building and scaling a tech product, with a chance to take on increased responsibility as we grow. Collaboration : You’ll work side-by-side with experienced founders, gaining insights into the startup journey from ideation to product-market fit and beyond. Cutting-Edge Tech : Join us as we push the boundaries of AI, leveraging the latest models and techniques to redefine customer experience analytics. Potential Upside : We are growing quickly and offer significant equity. If we’re really right, the upside is uniquely large. If you’re ready to shape the future of AI-powered session replays and product analytics, we’d love to meet you.
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Rohan Das:
Previously staff engineer and manager at Google, TLing and managing the YouTube homepage app server (billions of requests per day). Expertise in distributed systems and product development. Michael Rosenfield:
Previously Sr. Product Manager at Google where he led the development of the first native ads format on Google Maps, drove Google Search Ads optimization with $XB revenue growth, and led the Pixel premium tier product line. What You’ll Do
Design, build, and iterate across the stack , from backend data pipelines and ML-powered insights to frontend applications, bringing the power of multimodal LLMs to identify insights for users in real time. Drive the development of our
core AI analysis pipeline , working with multi-modal LLMs, modern ML models, and data processing techniques. Work on our
ingestion pipeline, handling massive amounts of data at scale
with tools like Kafka and Clickhouse. Collaborate closely with the founding team
to define technical strategies, set engineering standards, and shape product direction. Work directly with customers
to understand their needs, gather feedback, and iterate quickly to improve the product. About You
Experience : You have 1-3 (or more) years of experience building professional software with a very high quality bar. Ideally, you have demonstrable expertise in at least one of the following technologies: LLMs, machine learning, Next.js, React, Kafka, or Clickhouse. Ownership and Communication : You’re a self-starter excited about taking full ownership of projects you’re working on, and communicating to ensure they’re moving forward regularly. Full-Stack Fluency : You’re comfortable moving across the stack, from backend systems to user-facing applications, and have a good understanding of cloud infrastructure. AI/ML Enthusiasm : You’re thrilled by the potential of AI and stay up-to-date with the latest developments in machine learning and data processing. User-Focused : You have a passion for creating seamless user experiences and are energized by working directly with customers to solve real-world problems. Why Join Us?
Impact : As an early engineer, you’ll have a profound influence on the technical direction, engineering culture, and overall product vision. Growth : The challenges here will fast-track your growth, exposing you to the intricacies of building and scaling a tech product, with a chance to take on increased responsibility as we grow. Collaboration : You’ll work side-by-side with experienced founders, gaining insights into the startup journey from ideation to product-market fit and beyond. Cutting-Edge Tech : Join us as we push the boundaries of AI, leveraging the latest models and techniques to redefine customer experience analytics. Potential Upside : We are growing quickly and offer significant equity. If we’re really right, the upside is uniquely large. If you’re ready to shape the future of AI-powered session replays and product analytics, we’d love to meet you.
#J-18808-Ljbffr